sweppner/ labeld
About the developer
132 Stars 
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GNU Affero General Public License v3.0 
16 Commits 
5 Opened issues 
Description
LabelD is a quick and easy-to-use image annotation tool, built for academics, data scientists, and software engineers to enable single track or distributed image tagging. LabelD supports both localized, in-image (multi-)tagging, as well as image categorization.
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Contributors list
Introductions
LabelD was created as a simple image annotation tool to minimize the amount of work/time spent on annotation by streamlining the overall process. The images can either be pulled from Imgur based on keyword search (search button at the top right), or locally (please un-select Imgur as the image source under Annotation Settings).
Installation
LabelD is simple enough to get up and running.
- Clone/Download the LabelD source code
- Satisfy the required dependencies
- Launch the 2 required nodejs servers webserver.js and node/rest/restserver.js
- (optional) If there are local images the user wishes to annotate, copy them into the node/rest/data
Dependencies
- NodeJS
- NPM
- NPM module - express
- NPM module - body-parser
- MongoDB
And... you're done!
If you dont have an image base to start from, this may be the easiest platform to begin building a training set. It comes default with the ability to pull keyword indexed images from Imgur, so try it out!
- Put a keyword in the search box at the top right
- Hit enter
- Click "NEXT"
Thats it!